Smart User authentication through actuation of daily activities leveraging wifi-enabled IoT

Cong Shi, Jian Liu, Hongbo Liu, Yingying Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

183 Scopus citations

Abstract

User authentication is a critical process in both corporate and home environments due to the ever-growing security and privacy concerns. With the advancement of smart cities and home environments, the concept of user authentication is evolved with a broader implication by not only preventing unauthorized users from accessing confidential information but also providing the opportunities for customized services corresponding to a specific user. Traditional approaches of user authentication either require specialized device installation or inconvenient wearable sensor attachment. This paper supports the extended concept of user authentication with a device-free approach by leveraging the prevalent WiFi signals made available by IoT devices, such as smart refrigerator, smart TV and thermostat, etc. The proposed system utilizes the WiFi signals to capture unique human physiological and behavioral characteristics inherited from their daily activities, including both walking and stationaiy ones. Particularly, we extract representative features from channel state information (CSI) measurements of WiFi signals, and develop a deep learning based user authentication scheme to accurately identify each individual user. Extensive experiments in two typical indoor environments, a university office and an apartment, are conducted to demonstrate the effectiveness of the proposed authentication system. In particular, our system can achieve over 94% and 91 % authentication accuracy with 11 subjects through walking and stationaiy activities, respectively.

Original languageEnglish (US)
Title of host publicationMobiHoc 2017 - Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450349123
DOIs
StatePublished - Jul 10 2017
Externally publishedYes
Event18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2017 - Chennai, India
Duration: Jul 10 2017 → …

Publication series

NameProceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
VolumePart F129153

Conference

Conference18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2017
Country/TerritoryIndia
CityChennai
Period7/10/17 → …

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Networks and Communications
  • Software

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